1598648400
The Email Extractor app pulls emails addresses of your contacts from Gmail into a Google Sheet. You can then use Mail Merge or Document Studio to send personalized emails to your contacts from within the sheet itself.
That said, the imported mailing list may sometimes have duplicate email addresses and it is thus be a good idea to clean up the data in your Google Sheet by removing duplicates before sending out the emails.
You can use Conditional Formatting in Google Sheets combined with the COUNTIF
formula to quickly highlight cells that contain duplicate values.
Here’s how you can find duplicates in Google Sheets:
Open the Google Sheet containing your data and go to the Format menu.
Select Conditional Formatting from the expanded menu. This will help us change the colors of cells, rows or columns that meet a specific criteria.
In the Apply to Range input box, add the range of cells that contain possible duplicates. In our case, the email addresses are in column A so we can put A:A
to specify the entire A column.
Under the ‘Format cells if’ section, choose “Custom formula is” from the dropdown list as set the formula as =COUNTIF(A:A, A1) > 1
Click the Done button and you’ll instantly notice that all duplicate cells are highlighted as shows in the screenshot below.
The COUNTIF function in Google sheets (and Microsoft Excel) essentially counts the number of cells in the range that meet a specific criteria. For instance =COUNTIF(A:A, "apple")
will count the number of cells that contain the word apple.
It can accept wildcard characters too so =COUNTIF(A:A, "apple?")
will count cells that contain the word apple or apples. Or say =COUNTIF(A:A, "*@gmail.com")
and it will highlight all email address that end with a gmail address.
Please note that the COUNTIF
function is case-insensitive so values like gmail.com
and Gmail.com
are seen as duplicates.
#google sheets #mail merge for gmail #document studio #archives
1619247660
The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.
The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.
As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.
Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.
The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.
#opinions #alphabet #asics #floq #google #google alphabet #google quantum computing #google tensorflow #google tensorflow quantum #google tpu #google tpus #machine learning #quantum computer #quantum computing #quantum computing programming #quantum leap #sandbox #secret development #tensorflow #tpu #tpus
1598383290
The Google computer engine exchanges a large number of scalable virtual machines to serve as clusters used for that purpose. GCE can be managed through a RESTful API, command line interface, or web console. The computing engine is serviced for a minimum of 10-minutes per use. There is no up or front fee or time commitment. GCE competes with Amazon’s Elastic Compute Cloud (EC2) and Microsoft Azure.
https://www.mrdeluofficial.com/2020/08/what-are-google-compute-engine-explained.html
#google compute engine #google compute engine tutorial #google app engine #google cloud console #google cloud storage #google compute engine documentation
1625919480
In this video, we are going to create a structure of our service so that we can read data from Google Sheets. We will see how to get the dimensions of a google sheet that is required to read data.
We will read the entries through Laravel that we have added to the Google sheet.
Code: https://github.com/amitavdevzone/google-data-studio
#google sheet api v4 #google sheet #data
1598648400
The Email Extractor app pulls emails addresses of your contacts from Gmail into a Google Sheet. You can then use Mail Merge or Document Studio to send personalized emails to your contacts from within the sheet itself.
That said, the imported mailing list may sometimes have duplicate email addresses and it is thus be a good idea to clean up the data in your Google Sheet by removing duplicates before sending out the emails.
You can use Conditional Formatting in Google Sheets combined with the COUNTIF
formula to quickly highlight cells that contain duplicate values.
Here’s how you can find duplicates in Google Sheets:
Open the Google Sheet containing your data and go to the Format menu.
Select Conditional Formatting from the expanded menu. This will help us change the colors of cells, rows or columns that meet a specific criteria.
In the Apply to Range input box, add the range of cells that contain possible duplicates. In our case, the email addresses are in column A so we can put A:A
to specify the entire A column.
Under the ‘Format cells if’ section, choose “Custom formula is” from the dropdown list as set the formula as =COUNTIF(A:A, A1) > 1
Click the Done button and you’ll instantly notice that all duplicate cells are highlighted as shows in the screenshot below.
The COUNTIF function in Google sheets (and Microsoft Excel) essentially counts the number of cells in the range that meet a specific criteria. For instance =COUNTIF(A:A, "apple")
will count the number of cells that contain the word apple.
It can accept wildcard characters too so =COUNTIF(A:A, "apple?")
will count cells that contain the word apple or apples. Or say =COUNTIF(A:A, "*@gmail.com")
and it will highlight all email address that end with a gmail address.
Please note that the COUNTIF
function is case-insensitive so values like gmail.com
and Gmail.com
are seen as duplicates.
#google sheets #mail merge for gmail #document studio #archives
1596830700
This article is a quick guide to help you embed images in google colab markdown without mounting your google drive!
Google colab is a cloud service that offers FREE python notebook environments to developers and learners, along with FREE GPU and TPU. Users can write and execute Python code in the browser itself without any pre-configuration. It offers two types of cells: text and code. The ‘code’ cells act like code editor, coding and execution in done this block. The ‘text’ cells are used to embed textual description/explanation along with code, it is formatted using a simple markup language called ‘markdown’.
If you are a regular colab user, like me, using markdown to add additional details to your code will be your habit too! While working on colab, I tried to embed images along with text in markdown, but it took me almost an hour to figure out the way to do it. So here is an easy guide that will help you.
STEP 1:
The first step is to get the image into your google drive. So upload all the images you want to embed in markdown in your google drive.
Step 2:
Google Drive gives you the option to share the image via a sharable link. Right-click your image and you will find an option to get a sharable link.
On selecting ‘Get shareable link’, Google will create and display sharable link for the particular image.
#google-cloud-platform #google-collaboratory #google-colaboratory #google-cloud #google-colab #cloud